Springer Derivative-Free Optimization: Theoretical Foundations, Algorithms, and Applications (Machine Learning: Foundations, Methodologies, and Applications)

Springer - Federated Learning: Fundamentals and Advances Book

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Springer - Applications of Machine Learning Book

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Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)

Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)

Springer - Machine Learning and Metaheuristics Book

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Deep Learning Foundations

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Unsupervised Domain Adaptation: Recent Advances and Future Perspectives (Machine Learning: Foundations, Methodologies, and Applications)

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Topic Modeling: Advanced Techniques and Applications (Machine Learning: Foundations, Methodologies, and Applications)

Springer - Metaheuristics for Machine Learning Book

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Springer Metaheuristics for Machine Learning Book

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Machine Learning for Advanced Functional Materials

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Handbook of Trustworthy Federated Learning (Springer Optimization and Its Applications)

Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications)

Uncertainty, Optimization and Machine Learning with Applications (Mathematics for Sustainable Developments)

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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications (Industrial and Applied Mathematics)

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Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

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Fuzzy Optimization, Decision-making and Operations Research: Theory and Applications

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Optimization Methods and Algorithms

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Alternating Direction Method of Multipliers for Machine Learning

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Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization (Genetic and Evolutionary Computation)

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Springer Deep Learning: Fundamentals, Theory and Applications

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Springer Benchmarks and Hybrid Algorithms in Optimization

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Springer - Distributed Optimization in Networked Systems Book

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Multi-faceted Deep Learning: Models and Data

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